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SENSITIVITY ANALYSIS OF FUZZY RELATION EQUATIONS

Authors: HSIAO-FAN WANG; HSI-MEI HSU;

SENSITIVITY ANALYSIS OF FUZZY RELATION EQUATIONS

Abstract

In this paper we consider the problems of sensitivity analysis on fuzzy relation equations defined by x ∘ A = b where A is a state matrix and x, b are input and output vectors respectively with maxmin operator “∘”. When a state-matrix and an output-vector are given, the problems we concern are first how to determine the set of state-matrices which has the same solution set X(A, b) = {x | x ∘ A = b} with respect to a common output-vector? Second, when the solution set is empty how to determine the adjustable possibilities of the output-vector such that there exists at least one solution? By means of the defined quasi-characteristic matrix, the corresponding algorithms are proposed with numerical examples.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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